Knowledge Forum Zürich

Helsana: two years from “AI cannot reflect people’s needs and emotions” to “couldn’t we explore this with AI twins?” – and the 50+ studies in between.

Lorenz: customer evidence inside the product-development loop, earlier and across markets.

Triumph: AI twins at several stages of the Winter 2027 collection, from early design to the campaign brief.

Suva: validation, integrating own data, and fitting simulation into how teams already work.

Executive Open Forum: where organisations start, what builds trust, what matters after the pilot.

Closing from Cindy Candrian and Anne Scherer: the value is accumulated learning, not one simulation.

Earlier evidence changes the development process. Teams learn sooner, and a disproved assumption early is cheaper than the same lesson late.

Customer intelligence can enter before the idea is finished – as a creative collaborator, not a validation gate.

Validation is part of adoption. Trust comes from internal validation on a question the team already knows the answer to.

Simulations get more relevant once the organisation’s own data and context are in.

Don’t argue louder. Build better evidence.

The advantage is not one simulation. It’s the accumulated learning from hundreds of decisions.

Heads of insights, marketing and product from insurance, consumer goods and apparel.

Speakers from Helsana, Suva, Lorenz and Triumph.

The Delta Labs team behind Elaiia.